{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:27:26.055745Z",
     "start_time": "2019-11-22T14:27:26.051787Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "from torchvision import datasets, transforms\n",
    "import torch.utils.data.dataloader as Data\n",
    "import torch.nn as nn\n",
    "from torchvision import models\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:27:27.793890Z",
     "start_time": "2019-11-22T14:27:27.786526Z"
    }
   },
   "outputs": [],
   "source": [
    "#对比展现原始图片和对抗样本图片\n",
    "def show_images_diff(original_img,original_label,adversarial_img,adversarial_label):\n",
    "    plt.figure()\n",
    "\n",
    "    #归一化\n",
    "    if original_img.any() > 1.0:\n",
    "        original_img=original_img/255.0\n",
    "    if adversarial_img.any() > 1.0:\n",
    "        adversarial_img=adversarial_img/255.0\n",
    "\n",
    "    plt.subplot(131)\n",
    "    plt.title('Original')\n",
    "    plt.imshow(original_img)\n",
    "    plt.axis('off')\n",
    "\n",
    "    plt.subplot(132)\n",
    "    plt.title('Adversarial')\n",
    "    plt.imshow(adversarial_img)\n",
    "    plt.axis('off')\n",
    "\n",
    "    plt.subplot(133)\n",
    "    plt.title('Adversarial-Original')\n",
    "    difference = adversarial_img - original_img\n",
    "    #(-1,1)  -> (0,1)\n",
    "    difference=difference / abs(difference).max()/2.0+0.5\n",
    "    plt.imshow(difference,cmap=plt.cm.gray)\n",
    "    plt.axis('off')\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:54:11.029817Z",
     "start_time": "2019-11-22T14:54:11.015914Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 3, 224, 224])\n"
     ]
    }
   ],
   "source": [
    "#获取计算设备 默认是CPU\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "#图像加载以及预处理\n",
    "image_path=\"/home/schenk/lab/adversarial_examples-master/picture/cropped_panda.jpg\"\n",
    "orig = cv2.imread(image_path)[..., ::-1]   \n",
    "orig = cv2.resize(orig, (224, 224))\n",
    "img = orig.copy().astype(np.float32)\n",
    "\n",
    "mean = [0.485, 0.456, 0.406]\n",
    "std = [0.229, 0.224, 0.225]\n",
    "img /= 255.0\n",
    "img = (img - mean) / std\n",
    "img = img.transpose(2, 0, 1)  # 将原本(长，宽，通道数)的图片转成(通道数，长，宽)\n",
    "\n",
    "img=np.expand_dims(img, axis=0)\n",
    "\n",
    "img = torch.from_numpy(img).to(device).float()\n",
    "print(img.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:54:12.003300Z",
     "start_time": "2019-11-22T14:54:11.251492Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "label=388\n"
     ]
    }
   ],
   "source": [
    "#使用预测模式 主要影响droupout和BN层的行为\n",
    "model = models.alexnet(pretrained=True).to(device).eval()\n",
    "\n",
    "label=np.argmax(model(img).data.cpu().numpy())\n",
    "print(\"label={}\".format(label))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:54:12.012872Z",
     "start_time": "2019-11-22T14:54:12.006635Z"
    }
   },
   "outputs": [],
   "source": [
    "#图像数据梯度可以获取\n",
    "img.requires_grad = True\n",
    "\n",
    "#设置为不保存梯度值 自然也无法修改\n",
    "for param in model.parameters():\n",
    "    param.requires_grad = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:54:12.049501Z",
     "start_time": "2019-11-22T14:54:12.016413Z"
    }
   },
   "outputs": [],
   "source": [
    "# adam只可调整输入数据img\n",
    "optimizer = torch.optim.Adam([img])\n",
    "loss_func = torch.nn.CrossEntropyLoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:54:12.061406Z",
     "start_time": "2019-11-22T14:54:12.051764Z"
    }
   },
   "outputs": [],
   "source": [
    "epochs=100\n",
    "e = 0.01\n",
    "\n",
    "target=288\n",
    "target=torch.Tensor([float(target)]).to(device).long()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:54:12.678279Z",
     "start_time": "2019-11-22T14:54:12.410903Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch=0 loss=12.659992218017578 label=388\n",
      "epoch=1 loss=7.598757743835449 label=388\n",
      "epoch=2 loss=4.677642822265625 label=388\n",
      "epoch=3 loss=2.121230363845825 label=288\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for epoch in range(epochs):\n",
    "    #梯度清零\n",
    "    optimizer.zero_grad()\n",
    "    \n",
    "    # forward\n",
    "    output = model(img)\n",
    "    loss = loss_func(output, target)\n",
    "    label=np.argmax(output.data.cpu().numpy())\n",
    "    \n",
    "    print(\"epoch={} loss={} label={}\".format(epoch,loss,label))\n",
    "    \n",
    "    #如果定向攻击成功\n",
    "    if label == target:\n",
    "        print(\"\")\n",
    "        break\n",
    "         \n",
    "    \n",
    "    #反向传递 计算梯度   \n",
    "    loss.backward()\n",
    "    img.data = img.data - e*torch.sign(img.grad.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:52:15.149226Z",
     "start_time": "2019-11-22T14:52:14.979933Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 224, 224)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "adv=img.data.cpu().numpy()[0]\n",
    "print(adv.shape)\n",
    "adv = adv.transpose(1, 2, 0)\n",
    "adv = (adv * std) + mean\n",
    "adv = adv * 255.0\n",
    "adv = np.clip(adv, 0, 255).astype(np.uint8)\n",
    "\n",
    "show_images_diff(orig,388,adv,target.data.cpu().numpy()[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对比一下普通的更新参数的攻击方式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:52:16.240093Z",
     "start_time": "2019-11-22T14:52:16.233279Z"
    }
   },
   "outputs": [],
   "source": [
    "img2 = orig.copy().astype(np.float32)\n",
    "\n",
    "img2 /= 255.0\n",
    "img2 = (img2 - mean) / std\n",
    "img2 = img2.transpose(2, 0, 1)  # 将原本(长，宽，通道数)的图片转成(通道数，长，宽)\n",
    "\n",
    "img2 = np.expand_dims(img2, axis=0)\n",
    "\n",
    "img2 = torch.from_numpy(img2).to(device).float()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:52:17.366292Z",
     "start_time": "2019-11-22T14:52:16.646040Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "label2=388\n"
     ]
    }
   ],
   "source": [
    "model2 = models.alexnet(pretrained=True).to(device).eval()\n",
    "\n",
    "label2 = np.argmax(model2(img2).data.cpu().numpy())\n",
    "print(\"label2={}\".format(label2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:52:17.372283Z",
     "start_time": "2019-11-22T14:52:17.368375Z"
    }
   },
   "outputs": [],
   "source": [
    "#图像数据梯度可以获取\n",
    "img2.requires_grad = True\n",
    "\n",
    "#设置为不保存梯度值 自然也无法修改\n",
    "for param in model2.parameters():\n",
    "    param.requires_grad = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-22T14:52:18.359261Z",
     "start_time": "2019-11-22T14:52:17.928204Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch=0 loss=12.659992218017578 label=388\n",
      "epoch=1 loss=7.598757743835449 label=388\n",
      "epoch=2 loss=5.021139144897461 label=852\n",
      "epoch=3 loss=2.4139082431793213 label=293\n",
      "epoch=4 loss=1.4889839887619019 label=289\n",
      "epoch=5 loss=1.156986951828003 label=289\n",
      "epoch=6 loss=0.753029465675354 label=288\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for epoch in range(epochs):\n",
    "    #梯度清零\n",
    "    optimizer.zero_grad()\n",
    "    \n",
    "    # forward\n",
    "    output = model2(img2)\n",
    "    loss = loss_func(output, target)\n",
    "    label=np.argmax(output.data.cpu().numpy())\n",
    "    \n",
    "    print(\"epoch={} loss={} label={}\".format(epoch,loss,label))\n",
    "    \n",
    "    #如果定向攻击成功\n",
    "    if label == target:\n",
    "        print(\"\")\n",
    "        break\n",
    "         \n",
    "    \n",
    "    #反向传递 计算梯度   \n",
    "    loss.backward()\n",
    "    img2.data = img2.data - e*torch.sign(img2.grad.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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